A Minimum Error-Based PCA for Improving Classifier Performance in Detecting Financial Fraud
The main challenge of data mining approaches to detect fraud in financial transaction data is the imbalance of data classes in available datasets, with a much smaller fraud class proportion than the non-fraud. This imbalance affects the f1-score to be low due to unbalanced precision and recall. Ther...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Indonesian |
| Published: |
Universitas Negeri Semarang
2022-06-01
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| Series: | Jurnal Teknik Elektro |
| Subjects: | |
| Online Access: | https://journal.unnes.ac.id/nju/index.php/jte/article/view/35787 |